K8s Data Processing Cluster with Cert-Manager and — KUBERNETES architecture diagram

About This Architecture

Kubernetes data processing cluster integrating cert-manager for automated TLS certificate lifecycle, Vault for secrets management, and external-secrets-operator for credential synchronization across namespaces. Data flows from ingress through the data-api service to etl-worker pods, spark-cluster statefulsets, and batch jobs, with all traffic encrypted via Let's Encrypt ACME-issued certificates. Network policies, RBAC, and service accounts enforce least-privilege access, while HPA scales etl-workers based on demand and persistent volumes provide durable storage for ETL and Spark workloads. Fork this diagram to customize your own multi-tenant data platform, adjust node counts, or swap Vault for AWS Secrets Manager.

People also ask

How do I set up a secure Kubernetes cluster for data processing with automated TLS certificates and secrets management?

This diagram shows a production Kubernetes data processing cluster using cert-manager with Let's Encrypt for automated TLS, Vault as the secrets backend, and external-secrets-operator to sync credentials into workload namespaces. etl-worker pods, Spark StatefulSets, and batch jobs run with least-privilege RBAC, network policies restrict ingress traffic, and HPA scales workers based on load.

K8s Data Processing Cluster with Cert-Manager and

Kubernetesadvancedcert-managerVaultexternal-secrets-operatorRBACdata-processing
Domain: KubernetesAudience: Kubernetes platform engineers and DevOps teams managing secure, scalable data processing workloads
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Created by

August 19, 2026

Updated

September 19, 2026 at 4:17 PM

Type

architecture

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